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Course Outline
Introduction to Edge AI for Computer Vision for Government
- Overview of Edge AI and its benefits for government operations
- Comparison: Cloud AI vs. Edge AI in the context of public sector applications
- Key challenges in real-time image processing for government use cases
Deploying Deep Learning Models on Edge Devices for Government
- Introduction to TensorFlow Lite and OpenVINO for government projects
- Optimizing and quantizing models for edge deployment in government systems
- Case study: Running YOLOv8 on an edge device for government applications
Hardware Acceleration for Real-Time Inference for Government
- Overview of edge computing hardware (Jetson, Coral, FPGAs) suitable for government use
- Leveraging GPU and TPU acceleration in public sector environments
- Benchmarking and performance evaluation for government systems
Real-Time Object Detection and Tracking for Government
- Implementing object detection with YOLO models for government operations
- Tracking moving objects in real-time for public sector applications
- Enhancing detection accuracy with sensor fusion for government use cases
Optimization Techniques for Edge AI for Government
- Reducing model size with pruning and quantization for government systems
- Techniques for reducing latency and power consumption in government operations
- Edge AI model retraining and fine-tuning for government applications
Integrating Edge AI with IoT Systems for Government
- Deploying AI models on smart cameras and IoT devices for government use
- Edge AI and real-time decision-making in the public sector
- Communication between edge devices and cloud systems for government operations
Security and Ethical Considerations in Edge AI for Government
- Data privacy concerns in edge AI applications for government
- Ensuring model security against adversarial attacks for government systems
- Compliance with AI regulations and ethical AI principles for government operations
Summary and Next Steps for Government
Requirements
- Familiarity with computer vision concepts for government applications
- Experience with Python and deep learning frameworks for government projects
- Basic knowledge of edge computing and IoT devices for government use
Audience
- Computer vision engineers in the public sector
- AI developers working on government initiatives
- IoT professionals focused on government solutions
21 Hours
Testimonials (1)
I genuinely enjoyed the hands-on approach.
